Hi!
As per this article by Amazon: https://advertising.amazon.com/blog/new-sponsored-products-targeting-options it states that Close Match and Loose Match Auto campaigns are for for setting seperate bids for search results which makes sense. Substitutes and complements are for product detail pages which also makes sense.
When I count my Impressions for a portfolio it states a total of 318.000 impressions. A subset of these are divided into Loose match and Close match: 170.000. The remaining 148.000 is Substistutes or complements.
So far so god. BUT when I check for the placement affect it get’s scewed up. Per this article: https://advertising.amazon.com/help#GYYZVM7LGSRYGWV5 I can select “Top of Search” or “Rest of Search”. These two account for a total of 43.000 impressions and “Product pages” account for 275.000.
This is contradictory: How can one view of the data state that my impressions on search pages be 43.000 and the other 170.000? And when I look at my performance on Product pages it totals 148.000 vs. 275.000?
How is this possible?
Hope you can clarify!
Thanks in advance!
It seems like you’ve encountered a discrepancy between the data reported in different views within the Amazon Advertising platform, specifically related to the impressions and placement affect for your campaigns. While I don’t have direct access to your specific account or data, I can offer some insights into potential reasons for the mismatch:
Data Reporting Delay: Data in advertising platforms can sometimes experience delays in synchronization. The numbers reported might not always be in real-time alignment, especially if you’re viewing the data shortly after a campaign’s end date.
Segmentation and Filters: Different views might be using various segmentation or filtering criteria that impact how the data is displayed. For example, one view might be including a specific subset of data, while another includes a broader range.
Attribution and Analytics Models: Attribution models can affect how impressions and clicks are attributed to specific placements. Different views might be using different attribution models, leading to variations in reported numbers.
Calculations and Aggregations: The way data is calculated and aggregated can lead to differences in the numbers reported. It’s possible that certain metrics are being aggregated at different levels in different views.
Platform Updates or Bugs: Changes to the advertising platform, updates, or even technical issues can sometimes lead to discrepancies in data reporting. Bugs in the system can also affect the accuracy of reported numbers.
Given these complexities, here’s what you can consider doing:
Review Filters and Settings: Double-check the filters, settings, and date ranges you’re using when viewing the data. Make sure they are consistent across different views.
Check Attribution Models: Verify whether different attribution models are being used in different views. This could account for differences in how data is attributed.
Contact Amazon Support: If the discrepancy persists and you can’t reconcile the differences on your own, consider reaching out to Amazon seller support. They might be able to provide insights or explanations specific to your campaign data.
Stay Updated: Keep an eye on any updates or announcements from Amazon about changes in their advertising platform or reporting methodologies.
Use Multiple Data Sources: If available, consider cross-referencing your data with other analytics or reporting tools you might be using. This can help validate the accuracy of the numbers you’re seeing on the Amazon Advertising platform.
Remember that data discrepancies can be frustrating, but they’re not uncommon in the world of digital advertising platforms. By carefully reviewing your settings, checking for any anomalies, and seeking assistance when needed, you can work towards gaining a clearer understanding of your campaign performance.